🚀 Kafka Core empowers developers to effortlessly build robust .NET applications on top of Confluent Kafka, focusing on simplicity, maintainability, and extensibility. With intuitive abstractions and builders, it introduces powerful features that enhance functionality and extend the official library's capabilities.

Underrated producers list, made from t.me/edmsamplepack

Add-project-description-here | Voyage-46 | https://chingu.io/ | Twitter: https://twitter.com/ChinguCollabs

automatically create a video from an image and an audio file, and then you can upload it to YouTube through the same bot. aiogram & fastapi

Revenant Beats Quebexplicit Music Records 2018

Designed for producers, beatmakers and music creators. Grab an audio sample from Youtube, analyze it, and get its BPM and Scale. Powered by Able.

An interactive web application that visualizes the proposed software architecture for the VerseFlow music platform. This tool provides a comprehensive overview of the technology stack, architectural patterns, and design decisions that power a modern music streaming and collaboration platform.

Confluent Cloud Kafka examples in Go

An async computation scheduling library in Java.

A sample Electronic Press Kit (EPK) that Artists can use to boost & improve their online presence.....

Estudos sobre RabbitMQ, que é um message broker altamente consolidado e utilizado por quem trabalha com comunicação entre sistemas.

A small program that will able to run a kafka, zooker, producer and consumer

A boilerplate of consumer-producer where the producer is a camera capture.

Mini project for the course Database Technologies (UE22CS343BB3)

JungleLab Staging Dev

Homework for the Computing Systems Architecture course @ ACS, UPB 2020

Simple way to create topic, consumer and producer on Apache Kafka

Built a streaming fraud detection system with Apache Kafka and Python. Deployed a Kafka cluster via Docker Compose, implemented a transaction generator and fraud detector using kafka-python, and routed suspicious transactions to separate topics for real-time monitoring. Demonstrates event streaming, producers, consumers, and containerization.